This repo is my attempt to get familiar to the field of regression by attempting the Housing Price Prediction competition on Kaggle.
I perform data cleaning, feature extraction using Boruta and PCA so that data is ready to be fed to regression models.
I have tried to compare the performance of various models such as linear regression, tree, random forest and xgboost to understand how they perform and estimate gain in performance if any. This exercise has helped me understand the implementation of these different models in R.